Long C terminal splice variant Ca<sub>V</sub>2.2 identified in presynaptic membrane by mass spectrometric analysis
Bibliographic record
Abstract
Ca(V)2.2 voltage-gated calcium channels play a key role in the gating of transmitter release at presynaptic terminals. Recently we used mass spectrometry (MS) to analyze the protein complex associated with Ca(V)2.2 in purified presynaptic terminal membranes. A number of known and new Ca(V)2.2-associated proteins were identified, but not the channel itself. Here we set out to explore this anomaly. As previously, we used antibody Ab571 to capture the channel from purified synaptosome membrane lysate. We prepared a brain membrane lysate enriched for presynaptic active zones using standard methods to fractionate purified synaptosomes. These were osmotically lysed to generate a fraction enriched in presynaptic surface membranes. The lysate was solubilized in modified RIPA buffer and was passed over anti-Ca(V)2.2 antibody covalently bonded to immunoprecipitation beads. Captured complexes on the beads were then stripped of weakly-bound proteins by exposure to high salt to enrich the channel fraction. Proteins remaining bound to the sample were recovered in high concentration urea and the sample was subjected to standard enzyme digestion and MS analysis. We identified 12 distinct Ca(V)2.2 peptides, but no other ion channel peptides, in the lysate-exposed bead sample but no other ion channel peptides were recovered. Interestingly one of the channel peptides was derived from the alternatively spliced, long-C terminal region. Hence, confidence in identification of Ca(V)2.2 was beyond reasonable doubt. The identification of the long-splice Ca(V)2.2 provides compelling evidence that this variant is targeted to the presynaptic terminal, as we and others have suggested.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".